Vibe Code Brief, November 2: Antigravity Inherits Jules's Cloud Execution
5 min read

Vibe Code Brief, November 2: Antigravity Inherits Jules's Cloud Execution

Brandon Groce·November 2, 2026

Monday, and the agent tools are already moving. Today: Google quietly ships Jules's best feature inside Antigravity, Meituan releases a model trained for long-haul agents, itch.io gives us real numbers on supply flooding an open market, and OpenAI lands its first energy giant. Quick tour.

Google is moving Jules's cloud execution into Antigravity

Antigravity, Google's agentic coding platform

Image: Google, via the Antigravity 2.0 announcement

What happened: Google confirmed last week it will shut down Jules on December 31, with read-only access starting November 11. Now TestingCatalog has spotted what happens to Jules's signature trick: the latest Antigravity build has a local/cloud toggle above the prompt bar, a dev-only Running Jobs section for background tasks, Google Drive attachments in the prompt bar, and a Chief of Staff agent still in development.

Why it matters to designers and builders: cloud execution was Jules's core capability, connect a repo, let a task run asynchronously, come back to results. Landing it inside Antigravity means Google wants one tool for both live desktop work and long background runs, which is the same ambient-agent direction everyone else is chasing. If your workflow depends on Jules, the migration path just became visible.

What to do: if you are on Jules, export your sessions now and try Antigravity with a small repo. Everyone else, watch the Running Jobs feature when it ships.

Meituan shipped LongCat 2.5 for long agent coding runs

The LongCat model logo from Meituan

Image: Meituan LongCat, via the LongCat website

What happened: Meituan released LongCat 2.5 on November 2, a 1.6 trillion total parameter model with about 48 billion active per token, multimodal text and image input, and training aimed at sustained agent tasks. The standout detail: they convert real failures their agents hit into reproducible training tasks to close performance gaps.

Why it matters to designers and builders: the benchmark war is shifting from single clever answers to stamina, models meant to complete whole software projects over hours, not seconds. Training on agent failures is the most practical idea in the batch, because the failures you care about are exactly the ones your last run hit.

What to do: not a must-try today for design tools, but keep it on your model shortlist for long autonomous sessions.

itch.io doubled to 6,000 new game pages a day, and downloads did not follow

The itch.io logo, the open marketplace for indie games

Image: itch.io, via Wikimedia Commons, public domain

What happened: on November 1, itch.io said new game pages created each day have doubled in two months, from roughly 3,000 a day in August to more than 6,000 on October 30, with Polygon's coverage pointing to AI-generated projects as the likely driver. The key line: downloads and purchases have not doubled. Supply raced ahead, demand stayed flat.

Why it matters to designers and builders: this is the clearest public data point yet on what happens when generation gets free and distribution does not. Anyone can now fill a storefront, so the shelf matters more than the factory. Curation, presentation, screenshots, and a landing page that respects the visitor are now the product.

What to do: if you ship AI-assisted work to a marketplace, spend your remaining energy on packaging and proof, not volume.

ADNOC became the first energy company in OpenAI's Frontier program

OpenAI, whose Frontier program landed its first energy company

Image: OpenAI, via Wikimedia Commons, public domain

What happened: while Sam Altman traveled to Abu Dhabi, ADNOC and G42 signed a deal with OpenAI to deploy frontier AI capabilities across operations, making the Abu Dhabi oil giant the first energy company in the Frontier program, alongside agreements spanning energy, government and investment.

Why it matters to designers and builders: the Frontier program is where enterprise deployments get built with OpenAI's own support, and energy is one of the hardest domains to design for, heavy constraints, physical systems, real safety stakes. When frontier agents land in places like this, interface and workflow design matter even more, and they do not resemble startup dashboards.

What to do: watch how enterprise agent design looks in brownfield industries. If you design internal tools, the patterns will trickle down fast.

Our take

The common thread through today's brief: agents are getting a place to live. Antigravity builds them a home with background rooms, Meituan trains them for longer stays, itch.io shows what happens when everyone ships without one, and ADNOC shows frontier agents moving into heavy industry. Build with the assumption that agent work happens in the background and your only interface is the report it brings back.

Building something from today's news? Base44 is still the fastest way to go from idea to shipped app. Want practice reps instead? Try today's prompt at Daily Vibe Code.

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